CN-121982132-A - Dynamic visualization method and system for gas reservoir

CN121982132ACN 121982132 ACN121982132 ACN 121982132ACN-121982132-A

Abstract

The invention discloses a gas reservoir dynamic visualization method and a gas reservoir dynamic visualization system, and relates to the technical field of gas data analysis. A gas reservoir dynamic visualization method comprises the following steps of S1, building a material balance partition gas reservoir model based on oil reservoir and water body data, S2, reading configuration data, updating the material balance partition gas reservoir model, S3, building a gas reservoir model interaction data flow topological structure based on the updated material balance partition gas reservoir model, S4, reading the oil reservoir and water body data for interpolation, S5, storing interpolation results in an SVG image, and outputting the interpolation results to a front-end page for display. The invention can realize the dimension-increasing visual display of various oil and gas reservoir dynamic attribute data, is convenient for business personnel to check the oil and gas reservoir dynamic attribute and assists in carrying out dynamic analysis related work.

Inventors

YU LIN
LAI WENHUA
HE YUANXU
ZHU JUN
LUO JIAN
FENG JIAZHI

Assignees

中国石油天然气股份有限公司
昆仑数智科技有限责任公司

Dates

Publication Date: 20260505
Application Date: 20241030

Claims (10)

1. A gas reservoir dynamic visualization method, comprising the steps of: S1, building a substance balance partition gas reservoir model based on oil reservoir and water body data; S2, reading configuration data and updating a material balance partition gas reservoir model; S3, constructing a gas reservoir model interaction data stream topological structure based on the updated material balance partition gas reservoir model; s4, reading oil reservoir and water body data, and interpolating; s5, the interpolation result is stored as a scalable vector graph and is output to a front-end page for display.
2. A gas reservoir dynamic visualization method as defined in claim 1, wherein the step S1 comprises the steps of: s11, collecting oil reservoir and water body data to form a basic analysis data set; s12, building a material balance partition gas reservoir model; s13, building a gas reservoir topological structure diagram according to the communication relation of the gas reservoirs; S14, inputting a basic analysis data set into the material balance partition gas reservoir model, and fitting the material balance partition gas reservoir model with the basic analysis data by adopting a nonlinear regression method; s15, verifying fitting quality and correctness of a nonlinear regression method by using a diagramming method; s16, predicting the production value of the oil and gas well through a material balance partition gas reservoir model.
3. A gas reservoir dynamic visualization method according to claim 1 or 2, wherein the reservoir and body data comprises gas related data and body of water related data, the gas related data comprising high pressure physical experiment data, gas reservoir production data, gas reservoir porosity, irreducible water saturation, gas-water two phase permeability curves, compression coefficients of rock, the body of water related data comprising body of water size, water invasion angle and permeability.
4. A gas reservoir dynamic visualization method as defined in claim 1, wherein the step S2 comprises the steps of: S21, reading the daily configuration data of each oil and gas well in the same oil reservoir area, writing the configuration data into a material balance partition gas reservoir model, and performing historical data fitting; S22, inputting a simulation time period into the material balance partition gas reservoir model, and carrying out yield prediction.
5. A method of gas reservoir dynamic visualization as recited in claim 1 or 4, wherein the configuration data comprises predicted production, simulated step size, and simulated start-stop time.
6. A gas reservoir dynamic visualization method as defined in claim 1, wherein S3 comprises the steps of: s31, building a gas reservoir model interaction data stream and a gas reservoir model interaction data stream based on DIM software; s32, adding a functional module by using a DIM software public component, and building a gas reservoir simulation data stream topology structure diagram through the functional module; S33, performing functional configuration on each functional module.
7. A gas reservoir dynamic visualization method as defined in claim 1, wherein step S4 comprises the steps of: S41, reading oil reservoir and water body data; S42, forming a two-bit array according to the maximum value and the minimum value of the coordinates in the read data, and forming a rectangular boundary according to the two-bit array; S43, drawing a vectorized inner boundary line based on a two-bit array of a rectangular boundary; s44, carrying out interpolation calculation according to the database data to obtain a data graph.
8. The method of claim 7, wherein the database data includes well point coordinates and mbal output attribute values, and wherein the interpolation method includes Kriging interpolation, lagrangian interpolation, newton interpolation, shortest path first, or cubic spline interpolation.
9. A method of gas reservoir dynamic visualization according to claim 7, wherein step S5 comprises the steps of: S51, pushing the interpolation result to the front end for display; S52, performing interpolation mapping processing, and converting the interpolation mapping processing into a scalable vector graphic file; s53, storing the scalable vector graphic file in a binary data format into a database; S54, reading the binary scalable vector graphic file from the database, and outputting the binary scalable vector graphic file to a front-end page for display.
10. A gas reservoir dynamic visualization system, comprising The construction module is used for extracting oil reservoir and water body data to construct a substance balance partition gas reservoir model; the updating module is used for reading the configuration data to update the material balance partition gas reservoir model; the topological structure module is used for constructing a gas reservoir model interaction data stream topological structure based on the updated material balance partition gas reservoir model; the interpolation module is used for predicting database data and carrying out interpolation processing; And the visual interaction module is used for processing the interpolation result into a graph, converting the graph into a scalable vector graph and performing visual output display.

Description

Dynamic visualization method and system for gas reservoir Technical Field The invention relates to the technical field of gas data analysis, in particular to a gas reservoir dynamic visualization method and a system. Background The main software currently used for reservoir dynamic simulation comprises Eclipse, intersect and MBAL of PETEX company. The Eclipse software supports the construction of all types of oil and gas reservoir models, including black oil, components, thermal recovery and streamline models, integrates multidisciplinary knowledge such as geophysics, geology, oil reservoir engineering, drilling engineering, oil recovery engineering, economic evaluation and the like, and predicts the development dynamics of the oil reservoir under different conditions. Interect software can be a technical means for realizing the fine numerical simulation of large-scale heterogeneous reservoirs, and can provide a technical means for finely researching reservoirs with complex structures, high heterogeneity and complex well completion modes. The MBAL module integrates a large number of classical reservoir dynamic analysis methods, including a material balance method, multi-layer combined production split, monte Carlo simulation, decreasing curve analysis, a water drive front method, a reservoir typical curve method and the like. The numerical simulation software has three problems when performing simulation operation and outputting result graphs: The first is that the simulated configuration conditions need to be performed inside the software, and the configuration and model operation cannot be performed through the front-end page. Because the interface of the digital model software is not enough in opening degree, automatic operation and data extraction of the model cannot be completely realized, and the extracted data cannot be automatically mapped. And secondly, part of software cannot interpolate into a graph, no visualization function exists, and the prediction result can only be displayed in a data form, such as the prediction result of the oil and gas reservoir material balance partition of the IPM. Disclosure of Invention The invention aims to solve the technical problems that the front page can not be configured and operated by a model any more and the simulation result drawing can not be displayed on line and has no visual function when the conventional numerical simulation software performs simulation operation and output of the result drawing, and provides a gas reservoir dynamic visual method and a gas reservoir dynamic visual system, so that the problems are solved. The invention is realized by the following technical scheme: A gas reservoir dynamic visualization method comprising the steps of: S1, building a substance balance partition gas reservoir model based on oil reservoir and water body data; S2, reading configuration data and updating a material balance partition gas reservoir model; S3, constructing a gas reservoir model interaction data stream topological structure based on the updated material balance partition gas reservoir model; s4, reading oil reservoir and water body data, and interpolating; s5, the interpolation result is stored as an SVG image (scalable vector graphics) and is output to a front-end page for display. As a possible design, the step S1 includes the following steps: s11, collecting oil reservoir and water body data to form a basic analysis data set; s12, building a material balance partition gas reservoir model; s13, building a gas reservoir topological structure diagram according to the communication relation of the gas reservoirs; S14, inputting a basic analysis data set into the material balance partition gas reservoir model, and fitting the material balance partition gas reservoir model with the basic analysis data by adopting a nonlinear regression method; s15, verifying fitting quality and correctness of a nonlinear regression method by using a diagramming method; s16, predicting the production value of the oil and gas well through a material balance partition gas reservoir model. As one possible design, the oil reservoir and water body data includes data related to gas and data related to water body, the data related to gas includes PVT experimental data (high pressure physical experimental data), production data of gas reservoirs, gas reservoir porosity, irreducible water saturation, two phase permeability curves of gas and water, compression coefficient of rock, and the data related to water body includes water body size, water invasion angle and permeability. As a possible design, the step S2 includes the following steps: S21, reading the daily configuration data of each oil and gas well in the same oil reservoir area, writing the configuration data into a material balance partition gas reservoir model, and performing historical data fitting; S22, inputting a simulation time period into the material balance partition gas reservoir model, and carrying out y